Efficacy of advanced Fenton-photo systems for the degradation of petroleum hydrocarbons using complex neural networks

RSC Advances 2026 Open access

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Authors: Zainab Ashkanani, Rabi Mohtar, Salah Al-Enezi, F. M. Khalil, Muthanna Al-Momin, Xingmao Ma, Patricia K. Smith, Salvatore Calabrese, Meshal M. Abdullah, Najeeb S. Aladwani
DOI: 10.1039/d5ra07305g
Cited by: 2
References: 54

Abstract

ratio, with degradation mechanisms varying based on PAH structure. This AI-driven optimization provides an efficient framework for soil remediation in petroleum-contaminated desert environments where traditional methods face significant challenges.

Fields of Study & Subjects

Advanced oxidation water treatment Oil Spill Detection and Mitigation Solar-Powered Water Purification Methods

Publication details

Journal / source
RSC Advances
Publisher
Royal Society of Chemistry (RSC)
Volume
16
Issue
3
Pages
1993–2006
Publication date
1 January 2026
Language
EN